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논문검색

A Review of Software for Predicting Gene Function

초록

영어

A rich resource of information on functional genomics data can be applied to annotating the thousands of unknown gene functions that can be retrieved from most sequenced. High-throughput sequencing can lead to increased understanding of proteins and genes. We can infer networks of functional couplings from direct and indirect interactions. The development of gene function prediction is one of the major recent advances in the bioinformatics fields. These methods explore genomic context by major recent advances in the bioinformatics fields rather than by sequence alignment. This paper reviews software related to predicting gene function. Most of these programs are freely available online. The advantages and disadvantages of each program are stated clearly in order for the reader to understand them in a simple way. Web links to the software are provided as well.

목차

Abstract
 1. Introduction
 2. Gene Function Prediction Tools
  2.1. SNAPper
  2.2. Funcassociate
  2.3. OntoBlast
  2.4. GAIN
  2.5. GeneFAS
  2.6. GFINDer
  2.7. GOToolBox
  2.8. Blast2GO
  2.9. Biopixie
  2.10. GeneMark
  2.11. Phydbac “Gene Function Predictor”
  2.12. VIRGO
  2.13. GOBlast
  2.14. SynFPS
  2.15. ChemGenome
  2.16. HCGene
  2.17. Prosecutor
  2.18. GeneMANIA
  2.19. Go-At
  2.20. PANTHER 7
  2.21. PhyloProf
  2.22. PlasmoPredict
  2.23. AraNet
  2.24. Eukaryotic GeneMark
  2.25. Argot2
  2.26. FunCoup
 3. Discussion
 4. Conclusion
 Acknowledgements
 Conflict of Interest
 References

저자정보

  • Swee Kuan Loha Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia,81310, Skudai, Johor, Malaysia.
  • Swee Thing Low Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia,81310, Skudai, Johor, Malaysia.
  • Mohd Saberi Mohamad Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia,81310, Skudai, Johor, Malaysia.
  • Safaai Deris Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia,81310, Skudai, Johor, Malaysia.
  • Shahreen Kasim Faculty of Computer Science and Information Technology, Web Technology Department, Universiti Tun Hussein Onn, 86400, Parit Raja, Batu Pahat, Johor, Malaysia.
  • Choon Yee Wen Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia,81310, Skudai, Johor, Malaysia.
  • Zuwairie Ibrahim Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia.
  • Bambang Susilo Faculty of Agricultural Technology, University of Brawijaya, Jl. Veteran Malang, ZIP 65145, Indonesia.
  • Yusuf Hendrawan Faculty of Agricultural Technology, University of Brawijaya, Jl. Veteran Malang, ZIP 65145, Indonesia.
  • Agustin Krisna Wardani Faculty of Agricultural Technology, University of Brawijaya, Jl. Veteran Malang, ZIP 65145, Indonesia.

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